Yee Whye Teh

2008
32	EE	Jurgen Van Gael, Yunus Saatci, Yee Whye Teh, Zoubin Ghahramani: Beam sampling for the infinite hidden Markov model. ICML 2008: 1088-1095
31	EE	Gerald Quon, Yee Whye Teh, Esther Chan, Timothy R. Hughes, Michael Brudno, Quaid Morris: A mixture model for the evolution of gene expression in non-homogeneous datasets. NIPS 2008: 1297-1304
30	EE	Daniel M. Roy, Yee Whye Teh: The Mondrian Process. NIPS 2008: 1377-1384
29	EE	Jurgen Van Gael, Yee Whye Teh, Zoubin Ghahramani: The Infinite Factorial Hidden Markov Model. NIPS 2008: 1697-1704
28	EE	Jan Gasthaus, Frank Wood, Dilan Görür, Yee Whye Teh: Dependent Dirichlet Process Spike Sorting. NIPS 2008: 497-504
27	EE	Dilan Görür, Yee Whye Teh: An Efficient Sequential Monte Carlo Algorithm for Coalescent Clustering. NIPS 2008: 521-528
26	EE	Max Welling, Yee Whye Teh, Bert Kappen: Hybrid Variational/Gibbs Collapsed Inference in Topic Models. UAI 2008: 587-594
2007
25	EE	Kenichi Kurihara, Max Welling, Yee Whye Teh: Collapsed Variational Dirichlet Process Mixture Models. IJCAI 2007: 2796-2801
24	EE	Yee Whye Teh, Hal Daumé III, Daniel M. Roy: Bayesian Agglomerative Clustering with Coalescents. NIPS 2007
23	EE	Yee Whye Teh, Kenichi Kurihara, Max Welling: Collapsed Variational Inference for HDP. NIPS 2007
22	EE	Hai Leong Chieu, Wee Sun Lee, Yee Whye Teh: Cooled and Relaxed Survey Propagation for MRFs. NIPS 2007
2006
21	EE	Yee Whye Teh: A Hierarchical Bayesian Language Model Based On Pitman-Yor Processes. ACL 2006
20	EE	Eric P. Xing, Kyung-Ah Sohn, Michael I. Jordan, Yee Whye Teh: Bayesian multi-population haplotype inference via a hierarchical dirichlet process mixture. ICML 2006: 1049-1056
19	EE	Yee Whye Teh, David Newman, Max Welling: A Collapsed Variational Bayesian Inference Algorithm for Latent Dirichlet Allocation. NIPS 2006: 1353-1360
18	EE	Geoffrey E. Hinton, Simon Osindero, Yee Whye Teh: A Fast Learning Algorithm for Deep Belief Nets. Neural Computation 18(7): 1527-1554 (2006)
2005
17	EE	Max Welling, Thomas P. Minka, Yee Whye Teh: Structured Region Graphs: Morphing EP into GBP. UAI 2005: 609-614
2004
16	EE	Tamara L. Berg, Alexander C. Berg, Jaety Edwards, Michael Maire, Ryan White, Yee Whye Teh, Erik G. Learned-Miller, David A. Forsyth: Names and Faces in the News. CVPR (2) 2004: 848-854
15	EE	Max Welling, Michal Rosen-Zvi, Yee Whye Teh: Approximate inference by Markov chains on union spaces. ICML 2004
14	EE	Jaety Edwards, Yee Whye Teh, David A. Forsyth, Roger Bock, Michael Maire, Grace Vesom: Making Latin Manuscripts Searchable using gHMMs. NIPS 2004
13	EE	Yee Whye Teh, Michael I. Jordan, Matthew J. Beal, David M. Blei: Sharing Clusters among Related Groups: Hierarchical Dirichlet Processes. NIPS 2004
12	EE	Max Welling, Yee Whye Teh: Linear Response Algorithms for Approximate Inference in Graphical Models. Neural Computation 16(1): 197-221 (2004)
2003
11	EE	Max Welling, Yee Whye Teh: Linear Response for Approximate Inference. NIPS 2003
10	EE	Max Welling, Yee Whye Teh: Approximate inference in Boltzmann machines. Artif. Intell. 143(1): 19-50 (2003)
9	EE	Yee Whye Teh, Max Welling, Simon Osindero, Geoffrey E. Hinton: Energy-Based Models for Sparse Overcomplete Representations. Journal of Machine Learning Research 4: 1235-1260 (2003)
2002
8		Sham Kakade, Yee Whye Teh, Sam T. Roweis: An Alternate Objective Function for Markovian Fields. ICML 2002: 275-282
7	EE	Yee Whye Teh, Sam T. Roweis: Automatic Alignment of Local Representations. NIPS 2002: 841-848
2001
6	EE	Yee Whye Teh, Max Welling: The Unified Propagation and Scaling Algorithm. NIPS 2001: 953-960
5	EE	Geoffrey E. Hinton, Yee Whye Teh: Discovering Multiple Constraints that are Frequently Approximately Satisfied. UAI 2001: 227-234
4	EE	Max Welling, Yee Whye Teh: Belief Optimization for Binary Networks: A Stable Alternative to Loopy Belief Propagation. UAI 2001: 554-561
2000
3		Yee Whye Teh, Geoffrey E. Hinton: Rate-coded Restricted Boltzmann Machines for Face Recognition. NIPS 2000: 908-914
1999
2	EE	Geoffrey E. Hinton, Zoubin Ghahramani, Yee Whye Teh: Learning to Parse Images. NIPS 1999: 463-469
1998
1		Fahiem Bacchus, Yee Whye Teh: Making Forward Chaining Relevant. AIPS 1998: 54-61

Coauthor Index

1	Fahiem Bacchus	[1]
2	Matthew J. Beal	[13]
3	Alexander C. Berg	[16]
4	Tamara L. Berg	[16]
5	David M. Blei	[13]
6	Roger Bock	[14]
7	Michael Brudno	[31]
8	Esther Chan	[31]
9	Hai Leong Chieu	[22]
10	Hal Daumé III	[24]
11	Jaety Edwards	[14] [16]
12	David A. Forsyth	[14] [16]
13	Jurgen Van Gael	[29] [32]
14	Jan Gasthaus	[28]
15	Zoubin Ghahramani	[2] [29] [32]
16	Dilan Görür	[27] [28]
17	Geoffrey E. Hinton	[2] [3] [5] [9] [18]
18	Timothy R. Hughes	[31]
19	Michael I. Jordan	[13] [20]
20	Sham M. Kakade (Sham Kakade)	[8]
21	Bert Kappen	[26]
22	Kenichi Kurihara	[23] [25]
23	Erik G. Learned-Miller	[16]
24	Wee Sun Lee	[22]
25	Michael Maire	[14] [16]
26	Thomas P. Minka (Tom Minka)	[17]
27	Quaid Morris	[31]
28	David Newman	[19]
29	Simon Osindero	[9] [18]
30	Gerald Quon	[31]
31	Michal Rosen-Zvi	[15]
32	Sam T. Roweis	[7] [8]
33	Daniel M. Roy	[24] [30]
34	Yunus Saatci	[32]
35	Kyung-Ah Sohn	[20]
36	Grace Vesom	[14]
37	Max Welling	[4] [6] [9] [10] [11] [12] [15] [17] [19] [23] [25] [26]
38	Ryan White	[16]
39	Frank Wood	[28]
40	Eric P. Xing	[20]

Colors in the list of coauthors